Table 1.
Root-Mean-Square Error Values for 10 Subjects
| |
Subject |
|||||||||
|---|---|---|---|---|---|---|---|---|---|---|
| 1 | 2 | 3 | 4 | 5 | 6 | 7 | 8 | 9 | 10 | |
| AR | 29.5 | 11.3 | 42.6 | 25.4 | 18.5 | 25.4 | 26.1 | 14.9 | 13.6 | 16.5 |
| SVR | 43.5 | 14.2 | 61.7 | 38.2 | 26.3 | 38.2 | 50.9 | 28.5 | 18.6 | 16.9 |
| ELM | 33.4±1.2 | 18.8±4.9 | 33.9±0.8 | 20.4±1.9 | 20.7±2.1 | 20.5±1.7 | 20.5±1.7 | 11.8±0.3 | 13.0±0.7 | 14.4±0.4 |
| New | 22.8±0.2 | 9.7±0.2 | 23.5±0.8 | 18.6±0.3 | 15.6±0.2 | 18.7±0.4 | 19.0±0.3 | 11.4±0.4 | 11.8±0.4 | 12.7±0.1 |
Fifty groups of Monte Carlo simulations were run for both extreme learning machine (ELM) and the new algorithm. Data are mean±SD values.
AR, autoregressive; SVR, support vector regression.